Sadeghi, Ahmad-Reza

DÏoT: A Federated Self-learning Anomaly Detection System for IoT

Nguyen, T. D., Marchal, S., Miettinen, M., Fereidooni, H., Asokan, N., & Sadeghi, A.-R. (2019) · 2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

Network Security and Intrusion DetectionInternet Traffic Analysis and Secure E-voting

Cited by 663

The Cybersecurity Landscape in Industrial Control Systems

McLaughlin, S., Konstantinou, C., Wang, X., Davi, L., Sadeghi, A.-R., Maniatakos, M., & Karri, R. (2016) · Proceedings of the IEEE

Smart Grid Security and ResilienceInformation and Cyber Security

Cited by 391

C-FLAT: Control-Flow Attestation for Embedded Systems Software

Abera, T., Asokan, N., Davi, L., Ekberg, J.-E., Nyman, T., Paverd, A., Sadeghi, A.-R., & Tsudik, G. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 258

DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

Rieger, P., Nguyen, T. D., Miettinen, M., & Sadeghi, A.-R. (2022) · Proceedings 2022 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 202

Poisoning Attacks on Federated Learning-based IoT Intrusion Detection System

Nguyen, T. D., Rieger, P., Miettinen, M., & Sadeghi, A.-R. (2020) · Proceedings 2020 Workshop on Decentralized IoT Systems and Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 200

To ChatGPT, or not to ChatGPT: That is the question!

Pegoraro, A., Kumari, K., Fereidooni, H., & Sadeghi, A.-R. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 39

BayBFed: Bayesian Backdoor Defense for Federated Learning

Kumari, K., Rieger, P., Fereidooni, H., Jadliwala, M., & Sadeghi, A.-R. (2023) · 2023 IEEE Symposium on Security and Privacy (SP)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 37

CrowdGuard: Federated Backdoor Detection in Federated Learning

Rieger, P., Krauß, T., Miettinen, M., Dmitrienko, A., & Sadeghi, A.-R. (2024) · Proceedings 2024 Network and Distributed System Security Symposium

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 36

Trustworthy AI Inference Systems: An Industry Research View

Cammarota, R., Schunter, M., Rajan, A., Boemer, F., Kiss, Á., Treiber, A., Weinert, C., Schneider, T., Stapf, E., Sadeghi, A.-R., et al. (2020) · arXiv

Security and Verification in ComputingPrivacy-Preserving Technologies in Data

Cited by 9

DEMASQ: unmasking the ChatGPT wordsmith

Kumari, K., Pegoraro, A., Fereidooni, H., & Sadeghi, A.-R. (2023) · arXiv

Authorship Attribution and ProfilingTopic Modeling

Cited by 5